INNV-29. MULTISPECTRAL ANALYSIS FOR INTRA-OPERATIVE CHARACTERIZATION OF BRAIN TUMOURS, MARGINS OF RESECTION, AND ELOQUENT AREAS ACTIVATION – PRELIMINARY RESULTS. (14th November 2022)

• Record Type: Journal Article
• Authors: Anichini, Giulio; Zepeng, Hu; Leiloglu, Maria; Gayo, Iani; Patel, Neekhil; Syed, Nelofer; Nandi, Dipankar; O'Neill, Kevin; Elson, Dan
• Is Part Of: Neuro-oncology. Volume 24(2022)Supplement 7
• Page Start: vii147
• Page End: vii148
• Publication Date: 2022-11-14
• Subjects: Brain Neoplasms -- Periodicals; Brain -- Tumors -- Periodicals; Brain -- Cancer -- Periodicals; Nervous system -- Cancer -- Periodicals; 616.99481
• DOI: 10.1093/neuonc/noac209.569
• Languages: English
• ISSNs: 1522-8517

Abstract

Abstract: BACKGROUND: The identification of intrinsic brain tumours' boundaries and their anatomical relationship with eloquent connectomes is one of the main challenges in neurosurgery. Several new intra-operative spectroscopic technologies have been recently investigated for this purpose. Multispectral imaging (MSI) analysis is based on analysis of reflected light, divided in specific wavelengths ranges across the electromagnetic spectrum. By doing so, it can identify wavelengths invisible to the naked eye, and make them visible by applying specific filters. METHODS: We have used MSI to acquire intraoperative images during brain tumours surgeries. The MSI camera has been adapted to be connected to the intra-operative microscope and acquire a stack of images of different spectra to be analysed on a separate time. The focus of the images acquisition includes tumour structure, its margins, and eloquent connectomes during awake surgery or neurostimulation to analyse the possibility of different perfusion signal during activation. Image segmentation using K-mean clustering has been used to detect structural information and identify tumour's area and tumour's margins, while oxygen maps have been created using linear least squares regression to detect areas of metabolic activity. RESULTS: Twenty-three patients have been enrolled in the current study at the time of this submission. We have analysed the intra-operative acquisition using intra-operative microscope picture, pre- and post-operative MRI scan, and neurophysiological findings as ground truth. Our preliminary results show that MSI is a potential additional technology to visually show tumour core, margins, and different degree of perfusions on the tissues analysed during tumour surgery. Although on a very limited subgroup of patients, MSI seems to be reliable in identify eloquent areas activation during awake surgery. These results are promising and warrant more data acquisition to be confirmed.